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dc.date.accessioned 2008-05-23T18:44:37Z
dc.date.available 2008-05-23T03:00:00Z
dc.date.issued 2005-12
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9590
dc.description.abstract In this paper a thermodynamic approach is presented to the problem of convergence of evolutionary algorithms. The case of the Simulated Annealing algorithm for optimisation is considered as a simple evolution strategy with a control parameter allowing balance between the probability of obtaining an optimal or near-optimal solution and the time that the algorithm will take to reach equilibrium. This capacity is analysed and a theoretical frame is presented, stating a general condition to be fulfilled by an evolutionary algorithm in order to ensure its convergence to a global maximum of the fitness function. en
dc.format.extent 178-182 es
dc.language en es
dc.subject evolutionary computation es
dc.subject simulated annealing es
dc.subject thermodynamics of equilibrium es
dc.subject detailed balance es
dc.subject ergodicity es
dc.title Evolutionary computation with simulated annealing: conditions for optimal equilibrium distribution en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec05-3.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Segura, Enrique Carlos es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000000620 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 5, no. 3 es


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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)